# Fibrous MCP Server

> Use this tool when you need to streamline multi-chain DeFi operations across Base, Starknet, and Scroll networks. It provides AI agents with functionality to find optimal swap routes, build transactions, and execute swaps, solving problems related to fragmented liquidity and inefficient cross-chain trading. The Fibrous MCP Server takes in parameters such as swap requirements and network conditions, and outputs executable transactions and optimized trade routes.

Canonical page: https://skillsregistry.net/skills/ahmetenesdur-fibrous-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ahmetenesdur-fibrous-mcp

## Description

Provides tools for multi-chain DeFi operations using the Fibrous SDK, enabling AI agents to find swap routes, build transactions, and execute swaps across Base, Starknet, and Scroll networks.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r9z0mhha9d)
- **Repository:** <https://github.com/ahmetenesdur/fibrous-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ahmetenesdur-fibrous-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ahmetenesdur-fibrous-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ahmetenesdur-fibrous-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt